3 months ago
Base Salary
$405k - $485k/yr
Responsibilities
- Own the technical strategy and roadmap for configuration and experimentation infrastructure.
- Maintain and evolve feature-flagging, dynamic-configuration, and experimentation system architecture.
- Design and build scalable, reliable distributed infrastructure and shared libraries for high-volume workloads.
- Own platforms and tooling that enable safe configuration changes, controlled experiments, and impact measurement.
- Define standards, tooling, and frameworks that improve developer productivity across research and production workloads.
- Partner with deployment, testing, and other teams to translate goals into execution plans and solve complex technical problems.
Requirements
- Deep experience with configuration management, feature flagging, and/or experimentation platforms in large-scale environments.
- Strong proficiency in Python, Rust, and/or Go.
- Experience with container orchestration and infrastructure at scale.
- Excellent communication skills and an ability to support internal engineering and research partners.
- Strong candidates may have 15+ years of software engineering experience building and operating large-scale developer infrastructure.
- Strong candidates may have 3+ years leading large-scale, complex projects or teams as an engineer or technical lead.
- Experience with platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, or Unleash, including building comparable systems in-house, is valuable.
- Experience designing experimentation frameworks involving randomization, assignment, metrics pipelines, and statistical analysis is valuable.
- Experience with dynamic configuration systems and safe rollout mechanisms such as gradual rollouts, kill switches, and targeting rules is valuable.
- Experience building CLI tools, developer-facing services, and APIs or automation workflows integrated with existing CI/CD pipelines is valuable.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
Benefits
- Location-based hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship may be available, with immigration lawyer support.
- Competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.